Cumulative Frequency of Pointage

Name (Variance, Skewness)
Di Currio (59.6, 0.199)
Kingsenko (42.9, 1.607)
Oxtonovic (70.2, 0.718)
Sammarano (39.6, 0.294)
Templinho (54.8, -0.056)
Vivaldo (34.8, 0.642)
Variance shows how spread pointage is through the weeks. Skewness tells us how the pointage is distributed. For example, a postive skewness tells us that the asymmetric tail points towards the more positive values. Thus, most pointage is clustered towards the negative end. So Templinho's pointage is clustered towards the high end, whereas mine are nearer the low end. (That said, my low end is not as low as someone like Di Currio's).
Source: Hedgehogs Productions.

Name (Variance, Skewness)
Di Currio (59.6, 0.199)
Kingsenko (42.9, 1.607)
Oxtonovic (70.2, 0.718)
Sammarano (39.6, 0.294)
Templinho (54.8, -0.056)
Vivaldo (34.8, 0.642)
Variance shows how spread pointage is through the weeks. Skewness tells us how the pointage is distributed. For example, a postive skewness tells us that the asymmetric tail points towards the more positive values. Thus, most pointage is clustered towards the negative end. So Templinho's pointage is clustered towards the high end, whereas mine are nearer the low end. (That said, my low end is not as low as someone like Di Currio's).
Source: Hedgehogs Productions.
